Japanese sign language classification based on gathered images and neural networks
This paper proposes a method to classify words in Japanese Sign Language (JSL). This approach employs a combined gathered image generation technique and a neural network with convolutional and pooling layers (CNNs). The gathered image generation generates images based on mean images. Herein, the max...
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| Hauptverfasser: | , , |
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| Format: | EJournal Article |
| Veröffentlicht: |
Universitas Ahmad Dahlan,
2019-10-29.
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| Online Zugang: | Get Fulltext |
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